13 data-"https:"-"https:"-"https:"-"https:"-"https:"-"P"-"PhD-Jobs" positions at UNIVERSITY OF HELSINKI
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program
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ecology predictions and empirical data on the evolution of sex-specific differences in immunity and life history traits. As we intend to conduct interviews also during the application period, we appreciate
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-out. Our work focuses on developing advanced, data driven solutions to improve understanding, prediction, and treatment response in pediatric cancers, with broader applicability to adult cancers and
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across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate
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-month employment contract 15.2.2026-15.12.2026 (or starting as agreed). The selected candidate must be an enrolled bachelor or master student at University of Helsinki. The tasks include: Data entry
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on wood tissue patterning in birch and aspen. More information available in the lab website . The topics of research projects will be discussed in detail during the interview of the selected candidates
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permanent professorship or a fixed-term associate/assistant professorship (tenure track system), depending on his/her qualifications and career stage. Further information on the UH tenure track system
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research groups at the university. Concrete examples of data sources include audio and text interview material (oral and written), ethnographic data, and location or mobility data, with a particular interest
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taxation and forced labor will be useful to both economists and sociologists via the most up to date ANE data and analyses, bridging the lingering divide between ancient historians and modern social